Workday
AI Engineer
$147K–$259K
USA, CA, Pleasanton · Flex · Full-time · Posted Oct 14, 2026
- Experience
- 5+ years software engineering; 1+ years LLM/foundational model/AI API experience or strong demonstrable applied project portfolio; 2+ years API integration, backend application development, and data pipelines; 2+ years core development languages and modern software engineering workflows.
- Education
- Bachelor’s degree in Computer Science, Software Engineering, or an equivalent technical field.
About the job
Build and integrate AI-powered features and agent workflows into Workday’s enterprise software, connecting foundational models to user-facing products.
What you'll do
- Develop RAG pipelines, AI orchestration, and prompts for LLM-powered features.
- Integrate pre-trained models and AI APIs into responsive, reliable enterprise applications.
- Collaborate with engineering, product, and design teams to deliver agent workflows.
What they ask for
- 5+ years of professional software engineering experience developing, testing, and deploying production code.
- 1+ years of professional experience with LLMs, foundational models, or modern AI APIs, or a strong, demonstrable portfolio of applied project work.
- Demonstrated experience with AI orchestration concepts and prompt engineering.
- 2+ years of API integration, backend development, and data pipelines; and 2+ years with core development languages and software engineering workflows.
Nice to have
- Master’s degree.
- Familiarity with vector databases, semantic search, and prompt optimization.
Pay
$173,000 USD - $259,000 USD (base salary); $147,000 USD - $259,000 USD (base salary)
Tools
LLMs, vision APIs, RAG, LangChain, LlamaIndex, Python, CI/CD, vector databases
AI focus
Build production AI applications and agent features using pre-trained models, RAG, orchestration, and prompt engineering; focus is on intelligence orchestration and product delivery rather than training foundational algorithms.
Model-written summary · the original posting is authoritative